Marketing AI Operations Manager

Hatch is an AI agent CRM platform that helps various businesses optimize customer interactions for revenue growth. They are seeking a Marketing AI Operations Manager to oversee the marketing technology infrastructure, manage AI agents, and enhance operational processes to improve marketing effectiveness.

Responsibilities:

• Own and administer the marketing tech stack end to end—HubSpot (CRM & marketing automation), Data enrichment, , Google Analytics 4, Mobly (event attribution), and supporting tools and integrations
• Own and manage Hatch's internal marketing AI agent force—implementing AI agents, building and refining workflows, and partnering with marketers across the team to establish agent-driven automations that grow in complexity and sophistication over time
• Make decisive, ROI-driven decisions on tech stack consolidation, vendor selection, and cost efficiency of marketing software
• Build and maintain integrations between platforms (via native connectors, Zapier/Make, or APIs) to ensure seamless data flow across the marketing and sales ecosystem
• Manage lead lifecycle processes—scoring, routing, SLAs, and handoff to Sales—ensuring speed-to-contact and conversion rates are continuously optimized
• Design and implement sophisticated lead scoring models in HubSpot that incorporate behavioral signals, firmographic data, and enrichment from Clay to surface the highest-intent prospects
• Partner with Sales & Ops teams to maintain CRM alignment and pipeline reporting
• Build and optimize automated nurture workflows, re-engagement sequences, and lifecycle stage transitions that move leads through the funnel without manual intervention
• Build and maintain attribution models and reporting dashboards for transparent, closed-loop ROI tracking across all channels and campaigns
• Deliver end-to-end visibility into channel performance, campaign ROI, CAC, LTV, pipeline velocity, and funnel conversion rates
• Ensure marketing attribution accuracy and reporting timeliness so the team can make real-time decisions on budget allocation and campaign optimization
• Own marketing's relationship with data—pulling reports, building dashboards in HubSpot and GA4, and proactively surfacing insights that inform strategy
• Ensure data hygiene, compliance, and list management across all marketing systems
• Implement automated data quality standards—deduplication, decay monitoring, enrichment coverage—to maintain database integrity
• Work with legal teams to manage opt-in and send compliance with relevant regulations across email, SMS, and digital channels
• Maintain and optimize audience segmentation, suppression lists, and data governance processes
• Serve as the operational backbone for the entire marketing team enabling Growth, Product Marketing, Corporate Marketing, Field Marketing, and Customer Marketing to execute faster and smarter
• Partner closely with Sales Ops/RevOps to align on CRM standards, pipeline definitions, and reporting
• Collaborate with Product and Engineering on technical integrations, tracking implementation, and product-led growth instrumentation
• Act as the go-to expert on what's possible with AI-driven automation—proactively identifying opportunities to replace manual work with agent-driven workflows

Requirements:

• 5+ of experience in marketing operations, revenue operations, or growth operations roles at B2B SaaS companies—preferably in high-growth or startup environments
• Proven track record building and scaling marketing operations infrastructure—you've stood up systems and maintained them
• Deep understanding of B2B lead lifecycle management, funnel mechanics, and the interplay between marketing and sales processes
• Demonstrated experience implementing and managing AI-powered automations or workflow tools in a marketing context
• Expert-level proficiency in HubSpot—CRM configuration, marketing automation workflows, lead scoring, custom objects, sequences, and reporting
• Hands-on experience with enrichment tools such as Clay and Apollo.io for data enrichment, prospecting automation, and waterfall enrichment workflows—or strong demonstrated ability to learn quickly
• Strong command of Google Analytics 4 for web analytics, conversion tracking, and attribution
• Experience with event attribution tools (Mobly or similar) and understanding of offline-to-online attribution challenges
• Working knowledge of integration platforms (Zapier, Make, native APIs) to connect and orchestrate data flows between systems
• Systems thinker: You see the entire marketing-to-revenue engine as an interconnected system and obsess over making it run flawlessly
• AI-forward: You're genuinely excited about AI agents and automation. You don't just use AI tools—you think critically about how to deploy them to multiply marketing output
• Data-native: You live in the metrics. You can design measurement frameworks, interpret results, and translate findings into operational improvements
• Engineering-minded: You bring rigor, documentation, and scalability to everything you build. If it can't scale, you redesign it
• Bias toward action: You'd rather launch and iterate than wait for perfection. You move fast without sacrificing data integrity
• Collaborative partner: You can work effectively across marketing, sales, product, and engineering—translating technical concepts for non-technical stakeholders and vice versa
• Built or significantly improved marketing automation infrastructure that measurably increased funnel velocity or conversion rates
• Implemented lead scoring and routing systems that improved lead-to-opportunity conversion and Sales satisfaction with lead quality
• Designed attribution models that gave marketing leadership clear, trustworthy visibility into channel and campaign ROI
• Deployed AI-powered workflows or automations that replaced manual processes and increased team efficiency
• Reduced tech stack costs or improved utilization through vendor consolidation and ROI-driven decision-making
• HubSpot certifications strongly preferred
• Bonus: SQL or data querying skills; experience with BI tools (Looker, Tableau, Power BI)